Senior Data Specialist - DataOps, AI & Analytics

Hackajob Ltd; Salford; On-site; GBP 51,000 - 69,000; Full time

Job summary

Moodys Corporation is hiring in the UK for a data operations role focused on data quality, management, and automation. You will work with large datasets, develop robust ETL pipelines, and apply data governance best practices.

The ideal candidate has 1–3 years of experience, strong SQL and Python skills (Pandas/NumPy), and familiarity with Databricks, Snowflake, or Spark. A relevant bachelor’s degree is required and collaboration with global teams is essential.

Qualifications

• 1-3 years experience in data operations, data management, analytics, or automation.
• Strong SQL proficiency (PostgreSQL/MySQL/SQL Server) for data extraction and reporting.
• Hands-on Python experience with Pandas and NumPy for data manipulation.
• Understanding of data architecture, data modeling, and ETL for data integration and pipeline development.
• Experience implementing data quality frameworks for accuracy and completeness of datasets.
• Strong communication and problem-solving to collaborate across global teams.
• Familiarity with Databricks, Spark, Snowflake or similar technologies.
• Ability to communicate technical concepts to non-technical stakeholders.
• Interest in AI concepts and responsible AI practices.

Responsibilities

• Support and enhance data quality and operations across multiple sources, ensuring reliable, scalable data delivery.
• Develop and execute processes to monitor, manage, and improve data quality across datasets.
• Design and implement data deduplication frameworks to improve data accuracy and usability.
• Analyze and optimize data operations workflows, identifying automation opportunities to increase efficiency.
• Collaborate with cross-functional teams, including Sales, Product, and Technology, to align data solutions with business needs.
• Support stakeholders by delivering data insights and responding to data-related queries.
• Contribute to the development and enhancement of enterprise data platforms, ensuring integrity and scalability.
• Maintain best practices in data governance, data modeling, and pipeline optimization.

Skills

SQL proficiency

Python (Pandas/NumPy)

Data architecture

Data modeling

ETL processes

Data quality

Communication

AI concepts

Education

Bachelor's degree in Computer Science, Data Science, Information Systems, or related field

Tools

Databricks

Snowflake

Spark

MySQL

PostgreSQL

SQL

Python

NumPy

Pandas

Job description

Moodys Corporation is hiring in the UK for a data operations role focused on data quality, management, and automation. You will work with large datasets, develop robust ETL pipelines, and apply data governance best practices.

The ideal candidate has 1–3 years of experience, strong SQL and Python skills (Pandas/NumPy), and familiarity with Databricks, Snowflake, or Spark. A relevant bachelor’s degree is required and collaboration with global teams is essential.